The specific goal of this wiki initiative is to share and enhance the articulation of how demand response initiatives have evolved in the U.S. Electricity Industry from a load management practitioners’ perspective.
As PLMA refined and coordinated materials for the Demand Response Training Series, Michael Brown, NV Energy and Chair of the PLMA Education Committee, together with the Education Committee and PLMA Training Partners realized there was not a singular, agreed upon definition of Demand Response and the stages of its evolution (DR 1.0, 2.0, and 3.0) to help new and transitioning professionals, regulators, and lawmakers understand the growth and trends of the industry, so they set out to develop a harmonized, consistent definition, followed by a public comment period. This definition is used across the three demand response training courses produced by PLMA. This topic was presented in a Demand Response Dialogue that included Michael Brown, NV Energy; Scott Coe; Ross Malme, Skipping Stone; and Stuart Schare, Navigant, on September 1, 2016 (Listen to the recording here) The discussion continued at the 34th PLMA Conference in Delray Beach, Florida, in November 2016, with a panel presentation Defining the Evolution of Demand Response: From 1.0 to 3.0 and Beyond, Moderated by Michael Brown, Berkshire Hathaway, NV Energy; with Ross Malme, Skipping Stone; Robin Maslowski, Navigant; Ray Pustinger, Alternative Energy Systems Consulting; Dennis Quinn, Joule Assets.
Demand Response Evolution
DR 1.0 – The Past
The beginning of demand response can be traced to the first interruptible tariffs for large commercial and industrial customers where utility staff called or paged a primary customer contact to manually change power consumption on-site with no immediate feedback in the utility control room, or the first one-way communication load-control devices installed on residential water heaters and air conditioners, or when wholesale markets were introduced to the US electricity industry. Then, demand response was primarily used to provide Energy (MWh) and/or Capacity (MW) when wholesale prices were unusually high, when there was a shortfall of generation or transmission capacity or during unexpected emergency grid operating situations. Notifications were typically manual day ahead or hour(s) ahead and the “system of record” for measurement and verification was usually the utility meter which was read on its regular cycle, often manually. There was little or no immediate customer feedback on performance during a demand response event.
DR 2.0 – The Present
Demand response has become an integral part of most wholesale electricity markets and grid operation systems in the United States. Not only can demand response-driven initiatives provide more precise energy and capacity to support wholesale marketplace activities, but demand response can now also provide more sophisticated and near-instantaneous Ancillary Services such as non-spinning and spinning reserves and frequency and voltage support. Measurement and verification has become much more sophisticated and near real time measurements (either utility or non-utility) are often used as “system of record” for confirmation of customer performance during demand response events and for customer feedback.
DR 3.0 – The Current Path to the Future
Demand response is evolving to be a component of broader distributed energy resources including distributed photovoltaic, electric vehicle charging, and various forms of energy/thermal storage both on a grid operating system scale as well as “behind of the meter” (BTM) i.e., on the customer’s side . As a component of distributed energy resources (DER), demand response can now provide a wide variety of service benefits both to the grid operator and to the consumer and/or Prosumer (providing power and energy to the grid) including volt/var control, renewable energy integration, and congestion management in a localized distribution system. In wholesale markets, the demand response price signal has as its major underlying economic principle- to move the industry away from traditional “command-and-control” mechanisms in order to maintain its efficient grid operation role. In other words, a price signal triggered directly by the utility or the system operator will no longer be a requirement in DR 3.0, but rather devices are pre-programmed to react to price thresholds. Utilities continue to rely on a grid signal such as voltage for emergencies and system peaks rather than on a price signal, or it may be valued related to costs (e.g., avoiding a CT start).